Jordan Levy
Data Scientist
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolJordan Levy is a data scientist with eight years of hands-on experience applying Python, SQL, and big data tools to real-world telemetry and performance problems. Based in Irvine and trained at UC San Diego in Data Science with a Cognitive Science minor, he blends statistical rigor with an understanding of human-centered data. At Intel he builds tooling to analyze performance telemetry and enable ML-driven insights for hardware diagnostics, drawing on multiple internships where he experimented with graph databases and logistics optimization. He has a track record of mentoring and teaching—tutoring ML courses and leading student projects—translating complex concepts into practical solutions. Early work automating ETL and PDF text mining for UCSD Medical School shows a knack for creative scripting and process automation that complements his modeling skills. Colleagues value him for shipping production-ready analytics and for connecting low-level telemetry signals to actionable machine learning applications.
8 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Github Skills (6)
mscoco9
encoder-decoder9
attention-mechanism9
computer-vision6
pytorch6
deep-learning4
Programming languages (3)
Github contributions (5)
JordanLevy99/ECE_196_Intro_to_ML
Apr 2020 - Jan 2021
Contributions:45 commits, 2 PRs, 40 pushes in 9 months
JordanLevy99/NFL_machinelearn
Jul 2018 - Dec 2024
Contributions:1 PR, 6 pushes, 2 branches in 6 years 6 months
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